Titlebook: Network Data Envelopment Analysis; Foundations and Exte Chiang Kao Book 20171st edition Springer International Publishing Switzerland 2017

難受

書目名稱Network Data Envelopment Analysis影響因子(影響力)




書目名稱Network Data Envelopment Analysis影響因子(影響力)學(xué)科排名




書目名稱Network Data Envelopment Analysis網(wǎng)絡(luò)公開度




書目名稱Network Data Envelopment Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Network Data Envelopment Analysis被引頻次




書目名稱Network Data Envelopment Analysis被引頻次學(xué)科排名




書目名稱Network Data Envelopment Analysis年度引用




書目名稱Network Data Envelopment Analysis年度引用學(xué)科排名




書目名稱Network Data Envelopment Analysis讀者反饋




書目名稱Network Data Envelopment Analysis讀者反饋學(xué)科排名

澄清

Chiang Kaoble with Markov decision processes.Rigorous theoretical deri.Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation

CAMP

Chiang Kaoble with Markov decision processes.Rigorous theoretical deri.Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation

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準(zhǔn)則

Chiang Kaoble with Markov decision processes.Rigorous theoretical deri.Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation

maculated

Chiang Kaoble with Markov decision processes.Rigorous theoretical deri.Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation

KIN

nepotism

Chiang Kao resources has become a basic requirement for a company to competitively perform on the market. The modeling, analysis and assessment of dynamic production processes is often performed using simulation software. While existing approaches mainly focus on the consideration of resource consumption vari